Data Collection: Gather a large dataset with multiple observed variables. Correlation Matrix: Compute the correlation matrix to understand the relationships between variables. Extraction of Factors: Use methods such as Principal Component Analysis (PCA) or Maximum Likelihood to extract factors. Rotation: Apply rotation methods like Varimax or Promax to improve the interpretability of factors. Interpretation: Analyze the factors to determine their meaning and relevance.
